At a Glance
- Tasks: Scale data optimisation techniques and enhance ML model performance.
- Company: Join Google, a leader in tech innovation and AI.
- Benefits: Competitive salary, remote work options, and career growth opportunities.
- Other info: Collaborative environment with diverse teams and exciting challenges.
- Why this job: Make a real impact on cutting-edge AI projects that shape the future.
- Qualifications: PhD in relevant fields and experience in AI or software design.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Google to hire for this role. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. AI in the Gemini Era is data-centric: the quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than almost anything else.
Our mission is to improve the quality of models that Google releases through its various product offerings by providing tools and services for making faster and easier to reach model quality goals. We do so by bringing data optimization techniques to a broad audience through integrated tools and platforms. We build and iterate tools to automatically and efficiently apply data optimization techniques. We demonstrate to our users which ones work best for their use case, and deliver insights on how to improve further. We're working with key product teams across Google. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Minimum qualifications:
- Currently enrolled in or graduated from a PhD program.
- Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields.
- Experience in computer science and software design.
Preferred qualifications:
- Experience working with Generative AI.
- Experience with data structures and algorithms.
- Knowledge of Python programming.
Responsibilities:
- Help scaling data optimization techniques improving the performance and quality of ML models.
- Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques.
Software Engineer, AI ML, PhD, Early Career employer: Hackajob Ltd
Hackajob Ltd is an exceptional employer located in the vibrant town of Wallingford, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive training and growth opportunities within the logistics sector, while also enjoying a supportive environment that values their contributions to optimising robotic deployments. With a focus on employee well-being and a commitment to maintaining a balanced work-life dynamic, Hackajob Ltd stands out as a rewarding place to build a meaningful career.
